Digital Twin Execution Report

The Digital Twin(DT) Execution Report shows the results of a DT execution.

Preparation

Python libraries are imported, and historical and simulation data is imported for evaluation.

Dependecies

Load Data

Visualizations

We will evaluate pricing feeds, the controller state, and the token state with visualizations.

Prices

In the plots above we evaluate the Eth price data (upper) and the Rai market price data (lower) showing the historical data and the forward extrapolation under various assumptions Exponential Moving Average (EWM) and optimal swap assumptions. The CSI number indicating the maximum intensity of the 'optimal swap'.

Controller State

In the plots above we evaluate the controller states, in descending order(i.e. first state is the first plot) of redemption_price, redemption_rate, redemption_rate_annual,proportional_error, and integral_error. The plots show the historical data and the forward extrapolation under various assumptions Exponential Moving Average (EWM) and optimal swap assumptions. The CSI number indicating the maximum intensity of the 'optimal swap'.

Token State

In the plots above we evaluate the token states, in descending order(i.e. first state is the first plot), of: rai_debt, eth_locked, rai_reserve, and eth_reserve. The plots show the historical data and the forward extrapolation under various assumptions Exponential Moving Average (EWM) and optimal swap assumptions. The CSI number indicating the maximum intensity of the 'optimal swap'.

Conclusion

In this report, we've shown the real historical data that flow into the DT, and then extrapolations for the potential values of these states.